Instructions to use dreamgen/opus-v1.2-7b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use dreamgen/opus-v1.2-7b-gguf with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dreamgen/opus-v1.2-7b-gguf:Q4_K_M

Use Docker

docker model run hf.co/dreamgen/opus-v1.2-7b-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use dreamgen/opus-v1.2-7b-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dreamgen/opus-v1.2-7b-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dreamgen/opus-v1.2-7b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/dreamgen/opus-v1.2-7b-gguf:Q4_K_M

Ollama
How to use dreamgen/opus-v1.2-7b-gguf with Ollama:
```
ollama run hf.co/dreamgen/opus-v1.2-7b-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use dreamgen/opus-v1.2-7b-gguf with Docker Model Runner:
```
docker model run hf.co/dreamgen/opus-v1.2-7b-gguf:Q4_K_M
```

Lemonade

How to use dreamgen/opus-v1.2-7b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dreamgen/opus-v1.2-7b-gguf:Q4_K_M

Run and chat with the model

lemonade run user.opus-v1.2-7b-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

DreamGen Opus V1

DreamGen Opus V1 is a family of uncensored models fine-tuned for (steerable) story-writing and role-playing.

WARNING: GGUF versions might not perform as well as FP16 or AWQ.

See the full model dreamgen/opus-v1.2-7b for documentation.

See other Opus V1 variants.

Best consumed at Q8_0. With small models, even modest quantization can result in dramatic quality loss.

Downloads last month: 297

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

Collection including dreamgen/opus-v1.2-7b-gguf

DreamGen Opus V1: Story-writing & role-playing models

Collection

Uncensored models for steerable story-writing and role-playing. Prompting guide: https://dreamgen.com/docs/models/opus/v1 • 16 items • Updated Jun 19, 2024 • 10